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Article
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SIAM Journal on Scientific Computing
Article . 1994 . Peer-reviewed
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DBLP
Article . 1994
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Gauss–Seidel Iteration for Stiff ODES from Chemical Kinetics

Gauss-Seidel iteration for stiff ODEs from chemical kinetics
Authors: J.G. Verwer (Jan);

Gauss–Seidel Iteration for Stiff ODES from Chemical Kinetics

Abstract

Summary: A simple Gauss-Seidel technique is proposed that exploits the special form of the chemical kinetics equations. Classical Aitken extrapolation is applied to accelerate convergence. The technique is meant for implementation in stiff solvers that are used in long range transport air pollution codes using operator splitting. Splitting necessarily gives rise to a great deal of integration restarts. Because the Gauss-Seidel iteration works matrix free, it has much less overhead than the modified Newton method. Start-up costs therefore can be kept low with this technique. Preliminary promising numerical results are presented for a prototype of a second-order backward differentiation formula (BDF) solver applied to a stiff ordinary differential equation (ODE) from atmospheric chemistry. A favourable comparison with the general purpose BDF code DASSL is included. The matrix free technique may also be of interest for other chemically reacting fluid flow problems.

Country
Netherlands
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Keywords

second-order backward differentiation formula solver, Gauss-Seidel iteration, atmospheric chemistry, Nonlinear ordinary differential equations and systems, numerical results, chemically reacting fluid flow, Numerical methods for initial value problems involving ordinary differential equations, stiff equations, Chemical kinetics in thermodynamics and heat transfer, Aitken extrapolation, comparison, chemical kinetics, air pollution modelling, convergence acceleration, Chemically reacting flows, operator splitting, matrix free technique

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
158
Top 1%
Top 1%
Top 10%
bronze